∗ 2014 – Eindhoven Train Station

LocationMain walkway, Eindhoven Train Station (2014-2015 config)
AimStudy diluted and dense pedestrian dynamics
Recorded Area2.3m (L) x 9 m (W) / 4 Kinect sensors
ProcessingOffline, 24/7 recording, 100GB/day
Data100.000 trajectories per day/5M trajectories in total

To investigate diluted and denser crowding conditions with higher statistics we expanded our tracking system to cover the whole width of the main corridor of Eindhoven Train Station. We employed a grid of four sensors. 

 

 

Acquisition system with four Kinect sensors
The four signals are merged after the perspective view is undistorted

 

Below some example of the trajectories obtained (Click here for videos ) 

 

The following publications include technological details, density and direction ratio conditioned fundamental diagrams and data analytics approaches.

2017

Alessandro Corbetta; Federico Toschi

Overhead pedestrian tracking for large scale real-life crowd dynamics analyses Incollection Forthcoming

Enrico Ronchi (Ed.): invited panelist contribution at "New approaches to evacuation modelling" (as part of the 12th International Symposium on Fire Safety Science), Forthcoming.

Abstract | BibTeX

2016

Jasper Meeusen

Dense Crowd Dynamics Masters Thesis

Eindhoven University of Technology, 2016.

Abstract | BibTeX

Alessandro Corbetta; Chung-min Lee; Jasper Meeusen; Federico Toschi

Continuous measurements of real-life bidirectional pedestrian flows on a wide walkway Inproceedings

Proceedings of Pedestrian and Evacuation Dynamics 2016, pp. 18-24, 2016.

Abstract | Links | BibTeX

Alessandro Corbetta

Multiscale crowd dynamics: physical analysis, modeling and applications PhD Thesis

Eindhoven University of Technology, 2016.

Abstract | Links | BibTeX